Reconstructing cellular automata rules from observations at nonconsecutive times
Reconstructing cellular automata rules from observations at nonconsecutive times
Recent experiments have shown that a deep neural network can be trained to predict the action of t steps of Conway's Game of Life automaton given millions of examples of this action on random initial states. However, training was never completely successful for t>1, and even when successful, a reconstruction …